Contribute to groundbreaking AI-driven biotechnology at the Ellison Institute of Technology. As a Bio-ML Scientist, you'll develop advanced machine learning systems for biological modeling and optimization.
Join a rapidly growing Technology Hub focused on synthetic biology within the Generative Biology Institute. This role demands a strong background in machine learning applied to biological design, and experience collaborating with lab scientists. You'll work on innovative projects, harnessing cutting-edge resources to tackle critical scientific challenges.
Key Responsibilities:
- Research and design AI systems for synthetic biology
- Lead collaborative projects with multidisciplinary teams
- Work with scientists to create computational solutions
- Provide expertise on computational biology approaches
- Support development of GBI data flows and MLOps
Requirements:
- PhD in molecular biology, computer science, or related field
- Experience in machine learning for biological tasks
- Ability to translate biological questions into computational tasks
- Fluent in Python, R, or similar programming languages
- Excellent communication and time management skills
Elevate your career by driving innovative solutions in AI and biology at the forefront of research.
Bio-ML Scientist at Ellison Institute in Oxford employer: Ellison Institute of Technology
At the Ellison Institute of Technology (EIT), we pride ourselves on being an exceptional employer, fostering a culture of innovation and collaboration within our Plant Biology Institute. Our commitment to employee growth is evident through access to state-of-the-art facilities, mentorship opportunities, and a supportive environment that encourages bold ideas and interdisciplinary teamwork. With competitive benefits, including generous leave policies and comprehensive health coverage, EIT is dedicated to making a meaningful impact while ensuring our employees thrive both personally and professionally in the vibrant city of Oxford.
Contact Details:
Ellison Institute of Technology Recruitment Team
